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“云-边缘-物联网”架构的多模态数据存储与处理平台，实现混合式学习环境下学习行为智 能感知和数据化，优化学习行为模型，基于实际应用与不同学习目标函数及内容，建立可重 复、可预测、可验证的对比数据集，为数据驱动的智慧教育生态构建和教育应用提供核心技 术与数据支撑。 （三） 关键技术 我们面向智慧教育中准确认知学生的学习状态和行为的大数据需求提出研究方案。本项 目实施方案涉及教育学、物联网、云计算、人工智能、隐私保护等多个领域，主要技术路线 如图所示： 图2 技术路线图 其中，项目包括的关键技术主要有以下三点： 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： （1）基于物联网的多模态数据实时智能感知和多时间域数据采集技术。 该技术针对学习状态的数据化、特征参数量化问题，设计能够采集多重学习空间下的智 能数据感知物联网系统。主要技术难点在于抽样频率与识别准确度的平衡、人机交互的变化 规律等全新科学问题。 （2）学习状态多模态数据解析和智能处理技术 利用智能感知物联网采集实时性的原始学习状态数据，包括面部表情、脑电信号、头部 姿态、交互行为等原始数据，这些数据具有数据量大、模态多、冗余度高等特点，需要通过 智能化的预处理方法转换成可以量化的状态数据。 （3）多层次数据差分隐私保护技术 学习行为数据是学习者被动采集的多方面行为数据，受到日益增长的具有争议性的数据 伦理的制约。该项技术通过数据隐私保护机制实现数据多层次化的差分隐私安全算法；在保 证学习者最大数据隐私性的前提下，研究满足学习行为分析所需要的数据颗粒度。 技术成熟度： 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-边-端一体化的异构资源管理架构及优化方法，可满足感知、测控、通信等多样化业务需求， 提供全流程一体化端到端解决方案，变革新一代移动通信网络的网络优化模式，促进感知、 测控、通信等行业专网用户快速跨越式发展。 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： （三） 关键技术 云-边-端一体化异构资源协同优化技术与系统，包括两个部分：集成终端采集软件（路 测设备、用户终端、物联网模块）和后台在线分析诊断系统。 1、终端的采集系统 终端的采集特性可以定时或主动采集某一个或某些信令的数据，每个采集终端有一个代 理Agent、基带芯片的接口适配模块、文件系统、无线传输模块，信令数据根据监测对象的 不同进行自由配置，并实时根据配置要求上传采集的数据到后台中心。 2、云化后台系统 后台分析系统负责整个系统的后端数据通信采集、数据存储、业务应用、分析模型算法， 其中业务应用包括采集终端管理、信令管理、数据管理、权限管理等。模型算法包括关系型 数据模型的建立、信令参数与网络设备的关联统计等。 技术成熟度： □概念验证 □原理样机 ■工程样机 □中试 □产业化 合作方式： □联合研发 □技术入股 □转让 ■授权（许可） □面议 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号：","2026-10-09T19:27:17.977Z",[667,668,669,670,671,672,673],{"code":637,"name":638},{"code":464,"name":465},{"code":436,"name":437},{"code":644,"name":645},{"code":439,"name":440},{"code":478,"name":479},{"code":416,"name":417},[638,465,437,645,440,479,417],{"resultType":386,"id":676,"title":677,"abstract":678,"orgName":632,"province":633,"date":679,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":680,"tagNames":693},"cmv1bi78702cwbdd846av6goj","面向多源信息融合的电力电缆状态诊断技术及应用","电力电缆是电气设备输电环节运行中及其重要的组成部分，其全寿命周 期绝缘性能状态诊断技术具有重要的工程应用价值。根据最新的国家电网安全运 行不停电维护要求，采用多源信息融合技术对电力电缆的全生命周期运行状态进 行针对性的诊断与评估成为国内外在该领域的首选方案。提前预判电缆绝缘的局 部放电，合理有序的精准维护，最大可能的避免电力电缆输电中爆炸、着火等重 大安全事故，保障国计民生用电的可靠性。 （三）关键技术 1.研究内容 （1）多源信息融合 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 电力设备在发生局部放电的过程中，会伴随发生电流脉冲、电磁波、超声波、 热、光等许多物理现象，本项目基于局部放电在线检测技术，并结合多源信息融 合方法，对局部放电产生的物理 iang进行检测，实现电力设备在线状态综合诊 断系统。 （2）状态诊断技术及应用 传统的电力设备状态检测方法需要依靠人工判断，依赖于检测人员的工作经 验，其庞大的数据量和丰富的信息种类限制了诊断效率和诊断精度。随着数字技 术的发展，自动、智能和精确的智能图像处理和分析已成为主要的发展方向，本 项目运用了机器学习算法实现电力设备运行状态的诊断。 （3）面向泛在电力物联网和大数据的状态诊断平台 针对传统电力设备诊断时，检测方式单一且检测信息无法实时分析和共享， 本项目采用了多种在线检测方式对电力设备进行多维度的状态检测，多源信息需 要进行集中处理及分析。因此依托泛在电力物联网和大数据分析，实现电力系统 专用网关与状态诊断决策平台。将电力设备中多种检测设备通过多种协议接入物 联网，实时、连续的获取电力设备状态信息，实现大数据智能网关的诊断系统的 设计开发，并统一将多源信息发送至决策平台。 技术成熟度： 概念验证□原理样机 □工程样机 □中试 □","2026-10-09T19:27:17.919Z",[681,682,683,684,685,686,687,688,689,690,691,692],{"code":399,"name":400},{"code":612,"name":613},{"code":637,"name":638},{"code":436,"name":437},{"code":471,"name":472},{"code":644,"name":645},{"code":439,"name":440},{"code":623,"name":624},{"code":442,"name":443},{"code":448,"name":117},{"code":416,"name":417},{"code":419,"name":420},[400,613,638,437,472,645,440,624,443,117,417,420],{"resultType":386,"id":695,"title":696,"abstract":697,"orgName":632,"province":633,"date":698,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":699,"tagNames":727},"cmv1bi75502bebdd8g59psg0c","智能物联网感知与测试","本项目针对当前物联网测试场景多、传输快、距离远等特点，研 究了物联网结构的最优架构，融合协议解析，实现了多源节点接入与 数据最优化；以“功能模块化”和“感知节点分布式计算资源优化” 为导向，设计开发了物联网设备接入与组网节点模块；引入自适应多 径通信和智能感知节点协同计算，提升智能检测物联网的可协同性、 兼容性、数据传输速率和可靠性。项目研究了多源接入、优化计算及 — 353 — 小型化节点的新型物联网测试共性技术，为各类场景下工业检测智能 物联网向高容量、高速率、资源平衡方向的发展提供关键技术支持。 项目所研发的物联网测试技术已成功应用于建筑施工、物流运输、 石油储运、医疗设备智能化等行业，解决了“沥青路面施工质量监测”、 “冷链运输状态监测”、“集输管道状态监测”和“负压仓智能化升 级”等具体工程问题，相关技术在多个具体场景获得广泛应用。由于 所研究成果对抗击新冠肺炎疫情发挥了积极作用而被西安电视台报 道，并被学习强国等网络平台转载，获得了较好的社会反响和积极的 反馈评价。 （三） 关键技术 1）多源异构感知节点解析兼容技术。 为了测试功能的多样化需要协调多种感知节点并协调测试需求。 项目研发了多设备异构协议解析融合方案，打通了异构协议节点间信 息交互的屏障，实现了对多种异构协议一致性和互操作性的测试与评 价。 2）融合计算与最优化传输技术。 为了减小上游数据的收发量，减轻服务器数据处理的负载，必须 全面优化计算资源并降低物联网能耗。项目结合了最优化与自适应理 论，解决了自主路径选择与规划难题，建立了分布式计算策略，结合 — 354 — 最优化数据分配与传输全面提升了节点的运算能力并极大降低了网 络负载。 3) 小型化与低功耗节点技术。 为了最大化系统总吞吐量，必须通过拓扑控制满足总体的服务质 量需求。项目解决了基于拓扑控制的高速 mesh 难题，提出了冲突负 载均衡方","2026-10-09T19:27:17.806Z",[700,703,706,707,710,713,716,717,718,719,722,723,726],{"code":701,"name":702},"GB-07","石油和天然气开采业",{"code":704,"name":705},"GB-35","专用设备制造业",{"code":402,"name":403},{"code":708,"name":709},"GB-54","道路运输业",{"code":711,"name":712},"GB-57","管道运输业",{"code":714,"name":715},"GB-58","装卸搬运和仓储业",{"code":436,"name":437},{"code":471,"name":472},{"code":405,"name":406},{"code":720,"name":721},"GB-87","广播、电视、电影和录音制作业",{"code":439,"name":440},{"code":724,"name":725},"CH-27","建筑",{"code":416,"name":417},[702,705,403,709,712,715,437,472,406,721,440,725,417],{"resultType":386,"id":729,"title":730,"abstract":731,"orgName":632,"province":633,"date":732,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":733,"tagNames":749},"cmv1bi736029sbdd879zoenwz","天地互联统一安全接入认证系统","— 327 — 本项目直面移动网络发展中密码安全防护欠缺的问题，开发天地 互联安全接入仿真系统。本系统面向未来 5G\u002F6G 网络场景，兼容 4G 网络安全过程，结合当前学术研究重点和企业痛点，并依据 3GPP 最 新标准和通信产业共识，突破海量多元终端接入认证及无缝切换漫游、 IoT 群组快速接入和动态管理以及星载网络资源受限等关键问题，开 发面向未来天地互联网络的全场景网络安全仿真系统。所设计的仿真 系统面向密码算法在移动互联网中的实际部署需求，基于项目组在天 地一体化信息网络、5G 网络安全等国家重点研发项目和国家自然基 金项目中的积累，依据标准实现仿真系统流程，为国密算法、自研密 码算法以及密码协议等相关领域提供可靠、高效的实验验证平台和靶 场环境。 系统面向国家及企业应用急需，围绕 4G、5G 以及天地一体化网 络下出现的各种异构、海量终端的组网、接入、漫游等安全场景进行 研究，开发天地互联安全接入仿真系统，解决面向未来复杂异构网络 的安全部署、安全管理和安全验证的难题。该系统主要包含：4G 网 络安全仿真子系统、5G 大规模统一认证仿真子系统和天地一体化卫 星组网认证子系统，模拟 4G、5G 和天地一体化卫星网络中涉及组网、 接入、漫游、通信等过程中的安全交互环节，可支持基于国密算法和 自主设计的密码安全协议的系统性验证和相关教学、科研任务。 （三） 关键技术 1. 基于生物\u002F软生物特征的隐私保护安全身份认证技术 2. 动态可重构的统一接入认证机制 3. 5G 云雾架构下的用户认证方案 — 328 — 技术成熟度： 概念验证 原理样机 □工程样机 □中试 □产业化 合作方式： 联合研发 □技术入股 □转让 授权（许可） □面议 — 329 — 仿真软件截图 — 330 — 面向多源信息融合的电力电缆状态诊断","2026-10-09T19:27:17.732Z",[734,735,736,737,738,739,740,743,744,745,746],{"code":612,"name":613},{"code":433,"name":434},{"code":464,"name":465},{"code":436,"name":437},{"code":471,"name":472},{"code":439,"name":440},{"code":741,"name":742},"CH-06","6G",{"code":623,"name":624},{"code":416,"name":417},{"code":419,"name":420},{"code":747,"name":748},"FU-02","未来信息",[613,434,465,437,472,440,742,624,417,420,748],{"resultType":386,"id":751,"title":752,"abstract":753,"orgName":632,"province":633,"date":754,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":755,"tagNames":764},"cmv1bi71j028lbdd8nmymsbb3","粉尘燃爆火花能量监测智能控制系统","本系统包含控制电箱，物联网云端智能平台，网页端软件和手机 APP。控制电箱及时监测管道设备中可能出现的粉尘火花喷射和火苗 的能量强度，并在能量强度达到燃爆标准时，立即触发熄灭装置，使 用灭火剂或抑爆剂等减弱其能量强度，及时消除点燃粉尘燃爆危险。 同时，通过报警灯实现声光报警。本系统还会将数据发送到云端智能 平台，使用大数据分析技术对安全数据进行深度分析。用户可以通过 本系统提供的网页端软件和手机 APP 查看系统运行状况，进行报警 和故障处理，随时随地掌握生产安全状况。 — 303 — 控制电箱采用防静电外壳，并在内部设置防尘固定罩，避免因粉 尘等杂物进入电箱或人为损坏所造成的故障。控制电箱外观简洁，面 板上仅有三个状态指示灯和可视化触摸操作界面，各项功能一目了然， 便于操作。 控制电箱上的可视化触摸操作界面用以连接操作人员和火花能 量监测智能控制设备。直观的触摸功能使得操作安全方便。使用可视 化触摸操作界面，操作人员可以方便的监测火花的能量强度以及火花 能量智能控制设备的运行状态，并对各个事件进行跟踪管理。可视化 — 304 — 触摸操作界面中会显示有关当前器件所有事件的重要相关信息，也可 以对近期的历史信息进行查询，让客户能在保证生产安全的同时可以 更好地体验装置所带来的高端工业智能化魅力。 多级熄灭控制 根据火花能量及风险等级，提供多级熄灭控制，最大限度保障生 产安全。将监测的数据信号与粉尘防爆智能控制抑爆系统标定的标准 量值进行逻辑数字智能择决，喷射必要剂量的灭火剂或抑爆剂，减少 不必要的灭火剂和抑爆剂浪费，避免对正常生产活动的干扰，从而降 低粉尘燃爆事故的发生概率。 响应迅速 基于高速芯片，当粉尘燃爆火花能量达到抑爆临界值时，粉尘防 爆智能控制抑爆系统快速采用逻辑数字识别分析技术，火花探测与熄 灭响应速度在毫秒级别。 可监控两个区域 设备可接入两组探测器及熄灭装置","2026-10-09T19:27:17.668Z",[756,757,758,759,760,761,762,763],{"code":711,"name":712},{"code":464,"name":465},{"code":471,"name":472},{"code":439,"name":440},{"code":478,"name":479},{"code":448,"name":117},{"code":416,"name":417},{"code":419,"name":420},[712,465,472,440,479,117,417,420],{"resultType":386,"id":766,"title":767,"abstract":768,"orgName":632,"province":633,"date":769,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":770,"tagNames":777},"cmv1bi716028dbdd82sfcw2jg","物联网智能化除尘防爆系统","本系统实时监测生产环境中除尘器的粉尘浓度、温度、风速、氢 气浓度、氧气浓度、清水流量、污水流量、清水压力、污水压力等数 据，并根据监测到的生产数据进行预警、报警和相关控制，从而保障 企业生产工作始终在安全的环境中，防止安全事故的发生。同时，本 系统将监测数据通过网络发送到云端，实现对生产环境的深度分析。 本系统用信息化手段提升企业生产监管效率和执法人员工作效率，保 障生产安全。 采用物联网技术实时采集数据 — 299 — 物联网智能化除尘防爆设备实时将信息传递给“涉粉”生产企业 相关安全生产负责人，做到实时监测，及时改正，确保生产安全，杜 绝安全生产事故的发生。 云计算与大数据分析 物联网智能化除尘防爆系统提供数据统计分析功能，对生产运行 状况进行大数据分析。 全天候不间断监控，报警事件即时多头通知 系统替用户完成监控的任务，不需要专人看守。当安全生产出现 异常时，系统自动创建报警任务，并通过多种渠道通知生产企业和监 管部门。随时管理，随时报警，随时处理，达到“防患于未然”的目 的。 细粒度管理权限 能够管理本系统中的相关企业及执法部门的用户，实现企业的自 我管理，落实安全生产责任人员，并实现不同用户对系统的不同的操 作权限设备管理。能够管理生产企业中需要监控的生产设备。 提供手机端 APP 和网页访问 对生产企业与执法监管部门提供基于台式机、手机 APP 的操作 方式，且不同用户具有不同操作权限。在方便生产企业随时掌握自身 生产安全状况的同时，也便于执法监管部门随时掌握生产企业的生产 安全情况。 — 300 — — 301 — （三） 关键技术 物联网、大数据分析。 技术成熟度： □概念验证 □原理样机 □工程样机 □中试 产业化 合作方式： □联合研发 □技术入股 □转让 □授权（许可） 面议 — 302 —","2026-10-09T19:27:17.654Z",[771,772,773,774,775,776],{"code":436,"name":437},{"code":439,"name":440},{"code":445,"name":446},{"code":448,"name":117},{"code":416,"name":417},{"code":419,"name":420},[437,440,446,117,417,420],{"resultType":386,"id":779,"title":780,"abstract":781,"orgName":632,"province":633,"date":782,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":783,"tagNames":806},"cmv1bi6pr023nbdd804zdp1bi","轻量级多域安全私有云","相比于，同类的云计算解决方案，本项目能够有效防御各类外部 和内部安全安全攻击与威胁，避免计算功能泄露、计算过程缺失和计 算结果篡改等损失，率先实现了云计算平台的自证清白和主动安全。 具体而言，本项目的主要核心技术和创新点是：（1）数据安全，提 供域内数据安全存储、域外数据访问控制、域间数据可靠交换等数据 安全能力；（2）计算安全，具备程序逻辑机密性保护、运算过程完 整性保护和运算结果完备性验证等计算安全功能；（3）系统安全， 通过态势感知与智能响应进行一站式健康管理，利用统一安全认证机 制实现一体化安全认证，基于移动存储设备提供一键式快速部署，解 决云计算平台部署建设繁复、运行维护困难的问题。 本项目已申请\u002F授权专利 10 余件，获得软件著作权 7 件，有效解 决了私有云产品兼容性与灵活性差，部署实施难，管理控制成本高、 数据泄露丢失等行业应用痛点，已在教育、商业、军事、航空等领域 实际应用。例如，在西安电子科技大学、河南工业大学、西安理工大 学、河北师范大学、海南大学等高校建立了具有多个域的教育云安全 平台；被中国人民解放军中央军事委员会联合参谋部某部队采购，应 用于内部办公系统；为中国科学院无锡物联网研究中心视频物联网系 统提供了云计算安全支撑平台；与河南金路网、山东金口玉芽智慧农 — 189 — 业、中国航空工业第六三一研究所等企业及机关单位达成深度合作； 本项目相关方案和产品先后获得 2019 年“沣东杯”陕西省科技工作者 创新创业大赛银奖、第五届中国“互联网+”大学生创新创业大赛陕西 赛区金奖、2019CCTV 十大创业榜样等，未来将与政务、金融、医疗、 军工等对私有云安全有迫切需求的行业深度合作，力争成为国内私有 云安全的领航者。 （三）关键技术 — 190 — 轻量级多域安全私有云包括软件、硬件等各类系统，提供存储、 计算、网络等多种虚拟化资源，涉及服务提供者","2026-10-09T19:27:17.221Z",[784,787,788,789,790,791,792,793,796,799,802,803,804,805],{"code":785,"name":786},"GB-56","航空运输业",{"code":433,"name":434},{"code":464,"name":465},{"code":436,"name":437},{"code":543,"name":544},{"code":405,"name":406},{"code":439,"name":440},{"code":794,"name":795},"CH-09","航空航天",{"code":797,"name":798},"CH-28","交通",{"code":800,"name":801},"CH-29","金融",{"code":445,"name":446},{"code":448,"name":117},{"code":416,"name":417},{"code":419,"name":420},[786,434,465,437,544,406,440,795,798,801,446,117,417,420],{"resultType":386,"id":808,"title":809,"abstract":810,"orgName":632,"province":633,"date":811,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":812,"tagNames":827},"cmv1bi6ow023abdd8fzd6ek09","西安电子废弃物 Se 回收循环经济项目","— 181 — （1）解决当前线上回收平台产品范围窄、业务链过长问题 考虑到“游商”不仅在一线、二线城市普遍存在，而且在三、四 线城市更是电子废弃物的回收主力，“Se 回收”平台不同于已有线 上平台长业务链的定位，而仅聚焦于“桥梁”业务，即以促成“游商” 和“客户”交易为使命，通过“轻装化”降低运营成本，以“高流量” 实现盈余。 （2）解决当前线上回收平台客户参与度低、便利性差问题 “Se 回收”平台打通线上线下渠道，中青年消费者可在“Se 回 收”平台在线预约“游商”上门回收，同时“Se 回收”平台又通过 引导“游商”定期线下巡游回收以满足老年人处理电子废弃物的需求。 此外，“Se 回收”通过“我要晒”和“我去晒”两个模块，让消费 者和“游商”成为电子废弃物绿色回收的宣传者、引导者和践行者。 （3）解决电子废弃物类型快速膨胀带来的政策体系滞后问题 “Se 回收”平台通过对“游商”的认定导入，有助于引导“游 商”规范化处理回收的电子废弃物（特别是小型电子废弃物）。同时， “Se 回收”平台对“游商”的认定导入，借助物联网技术，增加消 费者对“游商”的信任，满足消费者对电子废弃物敢处理、能处理、 安全处理的需求。 （三）关键技术 项目将依托国家自然科学基金项目形成的系列研究成果，拟研发 典型电子废弃物区域配额算法和时间演化趋势，并申请软件著作权， 为游商识别重点回收区域和时间提供技术支持。 （1）成果《Forecasting the electronic waste quantity with a decomposition-ensemble approach》，提出了新的电子废弃物生成 — 182 — 量年度预测算法，在实证分析中算法的预测误差不超过 5%，能够较 为准确地预测未来电子废弃物年度变化的波动趋势，可为制定电子废 弃物回收利用规划和循环经济规划提供技术支撑。 （","2026-10-09T19:27:17.187Z",[813,816,819,820,823,824,825,826],{"code":814,"name":815},"GB-42","废弃资源综合利用业",{"code":817,"name":818},"GB-48","土木工程建筑业",{"code":464,"name":465},{"code":821,"name":822},"GB-67","资本市场服务",{"code":436,"name":437},{"code":439,"name":440},{"code":416,"name":417},{"code":419,"name":420},[815,818,465,822,437,440,417,420],{"resultType":386,"id":829,"title":830,"abstract":831,"orgName":632,"province":633,"date":832,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":833,"tagNames":846},"cmv1bi6ll021bbdd8ztu46ju1","数据化关键技术","本项目主要目标是针对信息技术支撑下学习空间多元化、场景复 杂、需求多样化，学习者及学习行为呈现出新的特点和规律，研究多 元学习空间中学习行为数据化关键技术，构建“云-边缘-物联网”架构 的多模态数据存储与处理平台，实现混合式学习环境下学习行为智能 感知和数据化，优化学习行为模型，基于实际应用与不同学习目标函 数及内容，建立可重复、可预测、可验证的对比数据集，为数据驱动 的智慧教育生态构建和教育应用提供核心技术与数据支撑。 （三） 关键技术 我们面向智慧教育中准确认知学生的学习状态和行为的大数据 需求提出研究方案。本项目实施方案涉及教育学、物联网、云计算、 人工智能、隐私保护等多个领域，主要技术路线如图所示： — 151 — 其中，项目包括的关键技术主要有以下三点： （1）基于物联网的多模态数据实时智能感知和多时间域数据采 集技术。 该技术针对学习状态的数据化、特征参数量化问题，设计能够采 集多重学习空间下的智能数据感知物联网系统。主要技术难点在于抽 样频率与识别准确度的平衡、人机交互的变化规律等全新科学问题。 （2）学习状态多模态数据解析和智能处理技术 利用智能感知物联网采集实时性的原始学习状态数据，包括面部 表情、脑电信号、头部姿态、交互行为等原始数据，这些数据具有数 据量大、模态多、冗余度高等特点，需要通过智能化的预处理方法转 换成可以量化的状态数据。 （3）多层次数据差分隐私保护技术 学习行为数据是学习者被动采集的多方面行为数据，受到日益增 长的具有争议性的数据伦理的制约。该项技术通过数据隐私保护机制 实现数据多层次化的差分隐私安全算法；在保证学习者最大数据隐私 性的前提下，研究满足学习行为分析所需要的数据颗粒度。 技术成熟度： □概念验证 □√原理样机 □工程样机 □中试 □产业化 合作方式： □√联合研发 □√技术入股 □√转让 □授权（许可） □√面议 — 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集成终端采集软件（路测设备、用户终端、物联网模块）和后台在线 分析诊断系统。 1、终端的采集系统 终端的采集特性可以定时或主动采集某一个或某些信令的数据， 每个采集终端有一个代理 Agent、基带芯片的接口适配模块、文件系 统、无线传输模块，信令数据根据监测对象的不同进行自由配置，并 实时根据配置要求上传采集的数据到后台中心。 2、云化后台系统 后台分析系统负责整个系统的后端数据通信采集、数据存储、业 务应用、分析模型算法，其中业务应用包括采集终端管理、信令管理、 数据管理、权限管理等。模型算法包括关系型数据模型的建立、信令 参数与网络设备的关联统计等。 技术成熟度： □概念验证 □原理样机 工程样机 □中试 □产业化 合作方式： □联合研发 □技术入股 □转让 授权（许可） 面议 — 111 — — 112 —","2026-10-09T19:27:16.944Z",[853,854,855,856,857],{"code":464,"name":465},{"code":436,"name":437},{"code":439,"name":440},{"code":478,"name":479},{"code":416,"name":417},[465,437,440,479,417],{"resultType":386,"id":860,"title":861,"abstract":862,"orgName":632,"province":633,"date":863,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":864,"tagNames":875},"cmv1bi6ci01whbdd8qgl3tzsv","技术及应用","电力电缆是电气设备输电环节运行中极其重要的组成部分，其全 寿命周期绝缘性能状态诊断技术具有重要的工程应用价值。根据最新 的国家电网安全运行不停电维护要求，采用多源信息融合技术对电力 电缆的全生命周期运行状态进行针对性的诊断与评估成为国内外在 该领域的首选方案。提前预判电缆绝缘的局部放电，合理有序的精准 维护，最大可能的避免电力电缆输电中爆炸、着火等重大安全事故， 保障国计民生用电的可靠性。 （三）关键技术 （1）多源信息融合 电力设备在发生局部放电的过程中，会伴随发生电流脉冲、电磁 波、超声波、热、光等许多物理现象，本项目基于局部放电在线检测 — 44 — 技术，并结合多源信息融合方法，对局部放电产生的物理 iang 进行 检测，实现电力设备在线状态综合诊断系统。 （2）状态诊断技术及应用 传统的电力设备状态检测方法需要依靠人工判断，依赖于检测人 员的工作经验，其庞大的数据量和丰富的信息种类限制了诊断效率和 诊断精度。随着数字技术的发展，自动、智能和精确的智能图像处理 和分析已成为主要的发展方向，本项目运用了机器学习算法实现电力 设备运行状态的诊断。 （3）面向泛在电力物联网和大数据的状态诊断平台 针对传统电力设备诊断时，检测方式单一且检测信息无法实时分 析和共享，本项目采用了多种在线检测方式对电力设备进行多维度的 状态检测，多源信息需要进行集中处理及分析。因此依托泛在电力物 联网和大数据分析，实现电力系统专用网关与状态诊断决策平台。将 电力设备中多种检测设备通过多种协议接入物联网，实时、连续的获 取电力设备状态信息，实现大数据智能网关的诊断系统的设计开发， 并统一将多源信息发送至决策平台。 技术成熟度： 概念验证□原理样机 □工程样机 □中试 □产业化 合作方式： □联合研发 技术入股 □转让 □授权（许可） □面议 — 45 — — 46 —","2026-10-09T19:27:16.709Z",[865,866,867,868,869,870,871,872,873,874],{"code":399,"name":400},{"code":612,"name":613},{"code":436,"name":437},{"code":471,"name":472},{"code":439,"name":440},{"code":623,"name":624},{"code":442,"name":443},{"code":448,"name":117},{"code":416,"name":417},{"code":419,"name":420},[400,613,437,472,440,624,443,117,417,420],{"resultType":386,"id":877,"title":878,"abstract":879,"orgName":880,"province":633,"date":881,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":882,"tagNames":891},"cmv1bi5zz01pvbdd85eikisvz","智慧安防社区管理平台","本平台面向社区综合治理，基于 AI、物联网、云计算和大数据分析等技术， 提供社区疫情防护、智慧党建、智慧垃圾分类、智慧安防、智慧物联、智慧物业 管理、智慧社区服务和智慧政务等方案，重新赋能各类社区警务场景、社区服务 场景、物管场景，重新定义基层警务工作方式、丰富社区服务类型、提高物业管 理效率。 本平台的建设旨在打造“矛盾不上交、平安不出事、服务不缺位”的“枫桥 经验”式智慧社区，提升社会综合治理、管理水平和服务群众的能力。平台充分 利用大数据、云计算、物联网等技术，紧密结合与社区息息相关的“人、车、物、 房、网、场所”六大要素，全方位开展周界报警系统、人员出入门禁系统、停车 管理系统、消防感知系统、视频监控系统、社区疫情智慧监控平台等智能系统建 设。","西安工业大学","2026-10-09T19:27:16.223Z",[883,886,887,888,889,890],{"code":884,"name":885},"GB-70","房地产业",{"code":439,"name":440},{"code":442,"name":443},{"code":445,"name":446},{"code":448,"name":117},{"code":416,"name":417},[885,440,443,446,117,417],{"resultType":386,"id":893,"title":894,"abstract":895,"orgName":880,"province":633,"date":896,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":897,"tagNames":910},"cmv1bi5xr01onbdd8paipa6hq","冻土工程与环境监测系统关键技术与工程应用","重大冻土工程的长期监测是理解冻土工程与气候、生态环境和冻土之间相互 作用的第一手基础数据，是重大冻土工程建设、安全运营和维护重要的科学基础； 而多年冻土区仅出现在高海拔和高纬度，大多地处无人区，野外环境异常恶劣； 且冻土的缓慢变化特性对数据的连续性、设备的稳定性等提出异常严苛的要求。 图1 高含冰冻土 冻胀融沉危害 及 冻土监测环境 本项目随着青藏铁路等重大冻土工程建设，十数年不断完善、更新和创新， 系统解决了恶劣环境下冻土工程与环境监测中高精度监测与远程无线传输、异构 信息存储与检索、数据共享与权益保护、灾害分析与预测等复杂工程问题，构筑 了具有集成创新特征的自主可控的“冻土工程与环境监测”完整应用系统，并在 青藏铁路、青藏公路、哈大高铁、哈齐高铁等国家重大冻土工程与环境监测中得 到广泛应用，积累了大量珍贵的监测数据；授权发明专利 4 项、实用新型专利3 项、软件著作权2项，取得了丰硕的理论成果、应用成果和社会效益，切实推动 了我国冻土工程与环境领域的科技进步；是目前中国多年冻土区唯一长期运营的 具有完全自主知识产权的国产设备和系统。是典型物联网应用样板示范工程。","2026-10-09T19:27:16.140Z",[898,901,904,905,906,907,908,909],{"code":899,"name":900},"GB-37","铁路、船舶、航空航天和其他运输设备制造业",{"code":902,"name":903},"GB-53","铁路运输业",{"code":708,"name":709},{"code":464,"name":465},{"code":439,"name":440},{"code":797,"name":798},{"code":416,"name":417},{"code":419,"name":420},[900,903,709,465,440,798,417,420],{"resultType":386,"id":912,"title":913,"abstract":914,"orgName":880,"province":633,"date":915,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":916,"tagNames":924},"cmv1bi5rk01kfbdd80e0o7w59","海绵城市建设及城市排水防涝智慧管控平台","近年来随着智慧城市、孪生城市概念的提出与发展,全国各大城市纷纷开展 了智慧城市建设，为城市管理构建一个智慧大脑，帮助城市更加健康、智能、高 效的发展，智慧海绵城市综合管控平台建设使智慧城市建设核心之一。项目基于 海绵城市规划建设现状，综合运用流量计、水位计、水质在线分析仪、气象站等 在线监测设备构建的物联网 IOT、高速宽带有线无线互联网（4G\u002F5G）、大数据、 地理信息系统、高效高精度雨洪过程和水质耦合模型、AI 污染溯源分析算法等 先进技术为支撑，构建智慧海绵城市综合管控平台，平台采用“1+1+1+N”的架 构模式设计，即一张网、一数据中心、一基础支撑平台和 N类大数据应用，为 海绵城市建设成效、城市排水防涝考核与评估提供依据，同时建立信息化平台， 集中反映城市建设、运营和管理、科研管理的全过程信息，全面提升海绵城市及 城市排水防涝的运营管理水平、规划决策水平和建设管理维护水平，为海绵城市 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